ODSC - Open Data Science

DECEMBER 7, 2023

Interested in attending an ODSC event? Learn more about our upcoming events here. Along the way, attendees integrated what they learned and saw practical applications for real-world problems, including how statistical concepts apply to machine learning, and how linear algebra is used to fit a linear regression.

Data Science 98

Data Science Data Wrangling Machine Learning Machine Learning 98

AWS Machine Learning Blog

AUGUST 2, 2024

Company earnings calls are crucial events that provide transparency into a company’s financial health and prospects. Companies often release information about new products, cutting-edge technology, mergers and acquisitions, and investments in new market themes and trends during these events. Amazon Earnings call transcript for Q1 2021.

AWS 136

AWS ML ML AI 136

Pickl AI

JUNE 9, 2024

Inferential Statistics: Mastering techniques like hypothesis testing, confidence intervals, and statistical significance. Hypothesis Testing Hypothesis testing is a fundamental statistical technique in Data Science that makes inferences about populations based on sample data.

Data Science 52

Data Science Hypothesis Testing Data Scientist Machine Learning 52

Pickl AI

NOVEMBER 4, 2024

Statistics Understand descriptive statistics (mean, median, mode) and inferential statistics (hypothesis testing, confidence intervals). Engaging in these events fosters community, providing support and motivation as you advance your Python journey for Data Science. These concepts help you analyse and interpret data effectively.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Women in Big Data

APRIL 17, 2024

Hypothesis Testing in Action: We learned how to formulate a null hypothesis (no difference exists) and an alternative hypothesis (a difference exists) and use statistical tests to evaluate their validity. It learns from historical data to make predictions about future events.

Exploratory Data Analysis 52

Exploratory Data Analysis EDA Machine Learning Machine Learning 52

Pickl AI

JANUARY 30, 2025

Probability Probability measures the likelihood of an event occurring, expressed as a number between 0 and 1. A probability of 0 means the event is impossible, while 1 indicates certainty. It allows us to assess risks, predict outcomes, and evaluate the reliability of events.

Hypothesis Testing 52

Hypothesis Testing Data Visualization Data Analysis Data Analysis 52

Pickl AI

NOVEMBER 29, 2024

However, variance offers a clearer mathematical foundation for advanced analyses , such as regression and hypothesis testing. Understanding variance aids in better preparation for extreme weather events or climate changes. This unit consistency often makes the standard deviation easier to interpret.

Clustering 52

Clustering Hypothesis Testing Data Analysis Data Analysis 52

Ocean Protocol

DECEMBER 6, 2023

This event provides a unique opportunity to contribute to the global data economy, with applications spanning healthcare, government, and more. Ocean Protocol, known for its robust toolkit enabling general-purpose access to share, monetize, and access data while preserving privacy, serves as the backbone tech stack for this event.

Data Science 59

Data Science Predictive Analytics Hypothesis Testing Data Scientist 59

Pickl AI

MARCH 3, 2023

There are other types of Statistical Analysis as well which includes the following: Predictive Analysis: Significantly, it is the type of Analysis useful for forecasting future events based on present and past data. Causal Analysis : Effectively, the use of casual Analysis is helpful in evaluating the cause and effect of a set of events.

Exploratory Data Analysis 40

Exploratory Data Analysis Hypothesis Testing Data Analyst Data Scientist 40

Alation

OCTOBER 12, 2022

Academic Quantitative Analysis represents the next chapter in zip code analysis; this form of analysis focuses on the interplay between variables after they have been operationalized, allowing the analyst to study and measure outcomes ( Quantitative and statistical research methods: from hypothesis to results , Bridgmon & Martin, 2006.).

Hypothesis Testing 52

Hypothesis Testing Data Analysis Data Analysis Analytics 52

Ocean Protocol

JANUARY 25, 2024

2022 & 2023 data challenges tested different time durations between 7–30 days. It has been determined that initiatives and hypothesis testing that require longer than 20 days will be tagged and executed as something other than a data challenge (data science competition). continue to roll out regularly.

Data Science 52

Data Science Hypothesis Testing Data Scientist Predictive Analytics 52

Pickl AI

OCTOBER 15, 2024

Hypothesis Testing : Statistical Models help test hypotheses by analysing relationships between variables. They identify patterns in existing data and use them to predict unknown events. These models help in hypothesis testing and determining the relationships between variables.

Decision Trees 52

Decision Trees Hypothesis Testing Clustering Data Analysis 52

Ocean Protocol

FEBRUARY 15, 2024

Collaboration & Benefits of participation in data challenges and hackathon-style events include opportunities in grant and fundraising rounds, expanding networking opportunities, sponsored research, and co-marketing/communication initiatives.

Hypothesis Testing 52

Hypothesis Testing Predictive Analytics Data Science Business Intelligence 52

Pickl AI

JULY 19, 2023

In Mathematical terms, it is a concept that predicts how likely events are to occur. Characteristics of probability distribution Probability distributions are mathematical functions that describe the likelihood of different outcomes or events in a random experiment or process. What is Probability? What are Probability Distributions?

Data Science 40

Data Science Hypothesis Testing Data Analyst Algorithm 40

Dataconomy

MAY 2, 2023

Additionally, statistics and its various branches, including analysis of variance and hypothesis testing, are fundamental in building effective algorithms. Probability Probability theory plays a crucial role in machine learning as it enables us to predict the potential outcomes of uncertain events.

ML 110

ML ML Machine Learning Machine Learning 110

Pickl AI

OCTOBER 14, 2024

Different approaches help organisations make sense of raw data, from simply summarising past events to predicting future outcomes. Techniques Hypothesis Testing: Determining whether enough evidence supports a specific claim or hypothesis. By analysing a sample, statisticians can draw inferences about broader trends.

Data Analysis 52

Data Analysis Data Analysis EDA Data Mining 52

Pickl AI

APRIL 3, 2025

Hypothesis Testing: Formally testing assumptions or theories about the data using statistical methods to determine if observed patterns are statistically significant or likely due to chance. Analyse -> Visualise -> Question -> Analyse Again -> Refine Visualisation.

Data Analysis 52

Data Analysis Data Analysis Data Visualization EDA 52

Pickl AI

JULY 23, 2023

Diagnostic Analytics Diagnostic analytics goes further than descriptive analytics by focusing on why certain events occurred. Predictive analytics helps forecast potential scenarios and understand likely future events by analysing patterns and trends.

Analytics 52

Analytics Analytics Predictive Analytics Data Analysis 52

Pickl AI

AUGUST 9, 2024

Students should understand the concepts of event-driven architecture and stream processing. Statistical Analysis Introducing statistical methods and techniques for analysing data, including hypothesis testing, regression analysis, and descriptive statistics. Knowledge of RESTful APIs and authentication methods is essential.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

SEPTEMBER 12, 2024

Inferential Statistics: A branch of statistics that makes inferences about a population based on a sample, allowing for hypothesis testing and confidence intervals. Joint Probability: The probability of two events co-occurring, often used in Bayesian statistics and probability theory.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Mlearning.ai

MAY 23, 2023

What is the p-value and what does it indicate in the Null Hypothesis? In a hypothesis test in statistics, the p-value helps in telling us how strong the results are. The claim that is kept for experiment or trial is called Null Hypothesis. P-value is a number that ranges from 0 to 1. They are called Type I errors.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52